Data Engineer 2

This is a US-based remote 18 month engagement. There is no possibility of extension beyond 18 months.

Our gaming studio client is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to live on the front edge of modern technology by building on things like Databricks, Azure Synapse Analytics and Azure Data Explorer while building ETLs and process in Databricks and Data Factory. You will help build state-of-the-art pipelines and data models that are at the heart of the studio decision-making process. You will be working on large-scale Lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes. Your customers will be the business, design, test and development teams and they will look to you to help shape how we capture data to improve our test-driven methodologies and build a culture around data driven development.

Key Responsibilities

• Help lead tech writing team goals, planning, and projects
• Help teams write/edit needed project documentation in a clear, concise, easily understandable manner
• Create documentation and knowledge sharing processes to maintain organization
• Organize documentation in an intuitive manner
• Align teams on and be advocate for knowledge sharing across studios
• Help research and push forward sharing initiatives or solutions to current pain points

Required Qualifications

• 5+ years' experience with SQL required.
• 5+ years' experience designing and implementing scalable ETL processes including data movement (Azure data factory) and quality tools.
• 3+ years' experience with modern Big Data Analytics using Data Lake, Spark and formats like Parquet.
• 2+ years' experience building cloud hosted data systems. Azure highly preferred.

Preferred Qualifications

• Building data pipelines in Azure Data Factory/Synapse Analytics/Spark.
• Working with data in delta lake format and from Azure Data Explorer/Kusto
• Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, and model monitoring data pipelines).
• Experience preparing and governing datasets for modern AI applications (LLM/RAG, experimentation/A-B testing, and privacy-aware data access).

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.